Sr. AI GTM Engineer

DocuSign
San Francisco
Workplace: HybridFull timeUSD 157,500 - 254,350 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Leadership"]

An AI GTM Engineer on the Growth team designs and implements end-to-end AI workflows and agent-powered journeys to automate marketing and growth campaigns. You’ll partner with Lifecycle Marketing, Campaign Operations, Performance Marketing, PLG, and Data Science to prototype MVPs, measure impact, and scale AI-driven programs across activation, retention, and revenue. Build internal tools and mentor stakeholders to adopt AI workflows.

This position is no longer accepting applications.

  • See live roles at DocuSign
  • Search all live jobs
  • Browse companies, collections, and locations hiring now
Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa

This position is no longer accepting applications.

See live roles at DocuSignSearch all live jobsBrowse companies, collections, and locations hiring now

DocuSign
DocuSign
4 months ago

Sr. AI GTM Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Closed

Job Summary

An AI GTM Engineer on the Growth team designs and implements end-to-end AI workflows and agent-powered journeys to automate marketing and growth campaigns. You’ll partner with Lifecycle Marketing, Campaign Operations, Performance Marketing, PLG, and Data Science to prototype MVPs, measure impact, and scale AI-driven programs across activation, retention, and revenue. Build internal tools and mentor stakeholders to adopt AI workflows.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and implement end-to-end AI workflows that power core Growth use cases (e.g., lifecycle/email, in-product prompts, performance marketing, winback, onboarding, experimentation).
  • •Turn loosely defined business goals and briefs into concrete, agent-powered flows: from data ingestion and grounding through orchestration logic to user-facing surfaces (email, in-product, ads, sales handoffs).
  • •Build internal tools and Agentic User Interfaces (AGUI) that let marketers and operators configure, monitor, and iterate on AI-driven journeys without needing a developer for every change.
  • •Partner with marketers and analysts to prototype quickly and run experiments using AI-powered MVPs, measuring impact on conversion, engagement, retention, revenue, and LTV.
  • •Coach marketers and other business stakeholders on how to maintain, upgrade, and improve AI workflows so teams become increasingly self-sufficient over time.

Pay and Benefits

Salary: USD 157,500 - 254,350 annually
Equity and Bonus:Equity
Perks:Health InsuranceRsusRemote WorkLearning Budget

Key Requirements

  • •8+ years of experience building user-facing software applications (front-end, back-end, or full-stack).
  • •1+ years of hands-on experience in AI engineering with large language models (LLMs), coding assistants, or agentic systems.
  • •Experience in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java, or similar).
  • •Experience with Growth / GTM metrics and concepts (e.g., funnel conversion, activation, retention, LTV, CAC payback).
  • •Bachelor’s degree or equivalent practical experience.
Experience:8+ yearsGrowthGTMB2B SaaS
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingLeadership
Languages:English
Tech Stack:PythonTypeScriptJavaAzure Agentic FrameworkAutoGenLangGraphCrewAISnowflakeIterableHightouchSalesforceLLMs

Company Brief

DocuSign
Provides a cloud-based electronic signature and intelligent agreement management platform that automates document workflows, identity verification, contract lifecycle management, and agreement analytics for enterprises and individuals worldwide.
Industry: LegalTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2003
Glassdoor
Glassdoor: 3.6
WebsiteLinkedInGlassdoor